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Researcher · National University of Singapore · Singapore

Kuldeep S. Meel

Kuldeep S. Meel publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications, on topics such as Machine Learning and Algorithms, Bayesian Modeling and Causal Inference and Formal Methods in Verification.

ORCID 0000-0001-9423-5270 OpenAlex
World rank
#1,029,515
of 7,710,434 ranked researchers
Rank in Singapore
#5,663
of 23,642
Works
236
Citations
2.3k
Citations per work
9.9
h-index
26
i10-index 46Top 7.1% in Artificial Intelligence
Kuldeep S. Meel

What does Kuldeep S. Meel research?

Kuldeep S. Meel's work is mostly in Computer Science (80%), Mathematics (5%).

Physical Sciences: 199 works · 84.5% of their workComputer Science: 188 works · 79.7% of their workArtificial Intelligence: 115 works · 48.9% of their workComputational Theory and Mathematics: 25 works · 10.8% of their workComputer Networks and Communications: 19 works · 8.1% of their workSoftware: 15 works · 6.2% of their workSignal Processing: 13 works · 5.7% of their workMathematics: 11 works · 4.8% of their workStatistics and Probability: 11 works · 4.8% of their workEverything else: 37 works · 15.5% of their workTHEIR WORKKuldeep S. Meel236works
Physical Sciences84%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science18879.7%
    2. Mathematics114.8%
  2. Everything else3715.5%
  1. 1Artificial Intelligence49% of their works
  2. 2Computational Theory and Mathematics11% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Software6% of their works
  5. 5Signal Processing6% of their works
  6. 6Statistics and Probability5% of their works

Research topics

Which keywords describe Kuldeep S. Meel's research?

The keywords of their largest research topics: Active Learning, Machine Learning, Bayesian Networks, Causal Inference, Model Checking, Symbolic Model Checker, GPS Trajectories and Trajectory Data Mining.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 16 words, with their numbers
  1. Active Learning721 topic
  2. Machine Learning721 topic
  3. Bayesian Networks701 topic
  4. Causal Inference701 topic
  5. Model Checking381 topic
  6. Symbolic Model Checker381 topic
  7. GPS Trajectories281 topic
  8. Trajectory Data Mining281 topic
  9. Automated Testing261 topic
  10. Software Fault Localization261 topic
  11. Bayesian Monte Carlo231 topic
  12. Markov Chain231 topic
  13. Continuous Queries201 topic
  14. Data Stream Management201 topic
  15. Interpretable Models191 topic
  16. Machine Learning Interpretability191 topic

Where does Kuldeep S. Meel work?

Kuldeep S. Meel's main affiliation in the publication record is National University of Singapore, Singapore.

How many publications and citations does Kuldeep S. Meel have?

OpenAlex counts 236 works and 2,342 citations for Kuldeep S. Meel, an h-index of 26, ranking #1,029,515 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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